Core Data Product Analyst

As a Core Data Product Analyst at our company, you will play a crucial role in analyzing and interpreting complex data sets to drive strategic decision-making and product development for our investment data management platform. Reporting to a senior product leader, you will collaborate closely with internal stakeholders and clients to ensure that our data management solutions meet user needs and business objectives. Your insights and contributions will help identify trends, inform our product roadmap, and enhance user experience. Your key responsibilities will include: - Collaborating with product managers to define data requirements and support the development of analytical models. - Conducting data analysis to identify trends, issues, and opportunities for improving product performance. - Generating reports and dashboards to provide actionable insights to stakeholders. - Advocating for a culture of data-driven decision-making within the organization. - Working with engineering teams to maintain data integrity and accuracy in product development. - Supporting the prioritization of product features based on data analysis and user feedback. To excel in this role, you must possess: - Prior experience in the Investment management industry with a strong knowledge of Security Reference, Trade, Analytics, Pricing, Accounting (ABOR/IBOR), Performance, Risk, and Custody data domains. - Knowledge of capital markets and expertise in equity, fixed income, and derivatives. - 3-6 years of experience in data analysis or a related field, preferably within the investment management industry. - Strong understanding of data management principles, including data governance and data quality processes. - Proficiency with SQL, Excel, and data visualization tools (e.g., Tableau, Power BI). - Familiarity with capital markets and financial data domains. - Excellent analytical problem-solving skills, attention to detail, and strong communication skills. - Ability to work effectively in a fast-paced environment and manage multiple projects simultaneously. - Experience with cloud platforms (AWS/Azure/GCP) and relational or NoSQL databases is a plus. - Knowledge of Snowflake is appreciated. Your educational background should include a Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. A Master's degree is considered a plus. Nice to have qualifications include experience in alternative asset management or related financial services, knowledge of machine learning techniques in data analytics, and exposure to working with portfolio managers, traders, and researchers. If you are passionate about leveraging data to drive strategic decisions and product development in the investment management industry, we encourage you to apply and be a part of our dynamic team.,